We propose a new family of quality metrics for graph drawing; in particular, we concentrate on larger graphs. We illustrate these metrics with examples and apply the metrics to data from previous experiments, leading to the suggestion that the new metrics are effective
Making sense of large graph datasets is a fundamental and challenging process that advances science,...
Aesthetics are often used to judge how good a graph drawing is in terms of specific drawing rules. A...
When looking at drawings of graphs, questions about graph density, community structures, local clust...
This poster empirically investigates the quality of large graph layouts using shape-based quality me...
Shape-based metrics measure how faithfully a drawing D of a large graph G shows the structure of gra...
With the continuing ability to gather and store increasingly larger amounts of data, so has grown th...
When comparing two different styles to draw a graph, one can wonder how much better or worse one sty...
Graph layout algorithms typically conform to one or more aesthetic criteria (e.g. minimizing the num...
Abstract—Aesthetics are often used to evaluate the quality of graph drawings. However, the existing ...
© 2015 Elsevier Inc. All rights reserved. Aesthetics are often used to measure the layout quality of...
In this paper, we present a framework for quality metrics that measure symmetry, that is, how faithf...
This paper contains details of new criteria for graph layout, based on the concepts used in graphica...
In the last decade several algorithms that generate straight-line drawings of general large graphs h...
Large-scale graph analysis and visualization is becoming a more challenging task, due to the increas...
Introduction. Graph drawing algorithms developed over the past 30 years aim to produce “readable” p...
Making sense of large graph datasets is a fundamental and challenging process that advances science,...
Aesthetics are often used to judge how good a graph drawing is in terms of specific drawing rules. A...
When looking at drawings of graphs, questions about graph density, community structures, local clust...
This poster empirically investigates the quality of large graph layouts using shape-based quality me...
Shape-based metrics measure how faithfully a drawing D of a large graph G shows the structure of gra...
With the continuing ability to gather and store increasingly larger amounts of data, so has grown th...
When comparing two different styles to draw a graph, one can wonder how much better or worse one sty...
Graph layout algorithms typically conform to one or more aesthetic criteria (e.g. minimizing the num...
Abstract—Aesthetics are often used to evaluate the quality of graph drawings. However, the existing ...
© 2015 Elsevier Inc. All rights reserved. Aesthetics are often used to measure the layout quality of...
In this paper, we present a framework for quality metrics that measure symmetry, that is, how faithf...
This paper contains details of new criteria for graph layout, based on the concepts used in graphica...
In the last decade several algorithms that generate straight-line drawings of general large graphs h...
Large-scale graph analysis and visualization is becoming a more challenging task, due to the increas...
Introduction. Graph drawing algorithms developed over the past 30 years aim to produce “readable” p...
Making sense of large graph datasets is a fundamental and challenging process that advances science,...
Aesthetics are often used to judge how good a graph drawing is in terms of specific drawing rules. A...
When looking at drawings of graphs, questions about graph density, community structures, local clust...